Stroitel Kamensk-Shakht. vs Pobeda: result 2-1 and analysis
Second League - Group 1Group 1 - 10Kick-off on May 25, 2024 at 09:00 AM (UTC)
Full time
What was the result of Stroitel Kamensk-Shakht. vs Pobeda?
Stroitel Kamensk-Shakht. won 2-1 on May 25, 2024.
Goalscorers
- 49′Y. BalanStroitel Kamensk-Shakht.
- 64′N. SevostyanovStroitel Kamensk-Shakht.
- 90′I. VagabovPobeda (pen.)
What is the recent form of both teams?
Over their last 8 matches in all competitions, Stroitel Kamensk-Shakht. have 3 wins, 3 draws and 2 defeats; Pobeda have 2, 9 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2024 | Alaniya Vladikavkaz II(away) | 2-1 | Second League - Group 1 |
| May 18, 2024 | Dinamo Stavropol(away) | 1-1 | Second League - Group 1 |
| May 11, 2024 | Kuban Kholding(away) | 1-1 | Second League - Group 1 |
| May 4, 2024 | Astrakhan(away) | 1-1 | Second League - Group 1 |
| Apr 27, 2024 | Rostov II(home) | 1-2 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2024 | Rubin Yalta(home) | 0-0 | Second League - Group 1 |
| May 12, 2024 | Alaniya Vladikavkaz II(away) | 2-3 | Second League - Group 1 |
| May 4, 2024 | Angust Nazran(home) | 0-0 | Second League - Group 1 |
| Apr 27, 2024 | Druzhba(away) | 2-1 | Second League - Group 1 |
| Apr 24, 2024 | Sevastopol(home) | 0-0 | Second League - Group 1 |
How many goals should we expect?
Stroitel Kamensk-Shakht. score 1.3 and concede 1.3 goals per match over their last 8; Pobeda score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stroitel Kamensk-Shakht. | 1.3 | 1.3 | 1 | 6/8 | 4/8 |
| Pobeda | 0.9 | 1.3 | 5 | 7/15 | 6/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Pobeda | 18 | 9 | 3 | 6 | 36 | 22 | 30 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy